Hiring
Senior AI/LLM Architect & Developer — Conversational Digital Health Platform
Project evidence involving Python, OpenAI API, RAG. First observed 3 Sept 2026; the response opens on upwork.com.
- Budget
- Not provided by source
- Work format
- Project
- Role family
- AI / ML engineer
- Seniority
- Senior
- Observed
- 3 Sept 202610 days old
- Response destination
- upwork.com
What this signal says
The observed opportunity titled “Senior AI/LLM Architect & Developer — Conversational Digital Health Platform” enters this catalog as a market signal with a traceable source. Leadiy does not republish the original description. Instead, it separates a few decision-grade facts from the private operating record and adds context from the same demand dataset. That boundary matters: the public edition can help a developer or agency assess relevance, while the source remains responsible for complete requirements, eligibility, current status and the actual response flow. Any fact not shown here should be checked at that destination.
How the technology was normalized
This record contributes to the normalized topic set Python, OpenAI API, RAG, Tool/function calling, Vector search and knowledge systems. The mapping is evidence-based and intentionally conservative. It looks for named technology terms in the public-safe opportunity fields, resolves aliases, then checks any combination as a set of requirements rather than a loose keyword. This makes the page discoverable under stable technology hubs without pretending that a tag replaces technical due diligence. The source may contain additional context, but no unpublished contact or outreach field is used to create the public classification.
Commercial format
Leadiy reads the buying motion as Project. This matters because the response shape for a deliverable, contractor seat, formal proposal and employment application is not interchangeable. The category is a classifier output rather than a legal characterization, and the original post wins if its terms change. The available duration wording is “6+ months; more than 30 h/week; starts with a small paid discovery assignment.” Work-location context is recorded as “Worldwide remote. Exceptional individual developers and small specialized AI teams/agencies are explicitly welcomed; the actual technical architect must be name.”
Reading the budget
Budget data is unavailable from the source for this record. That is a statement about one missing field, not about whether the opportunity itself is public: this evidence page is published and indexable. Leadiy keeps the gap visible instead of inventing a midpoint or borrowing a number from another listing. Ask the source to confirm amount, currency, unit, inclusions and payment schedule before treating the opportunity as commercially qualified.
Demand context from Hiring Pulse
In the current 30-day Hiring Pulse, Python appears in 324 of 1213 observed opportunities (26.7%). Counts are multi-label, so one opportunity may contribute to several technology buckets. The comparison is dated through 2026-09-14 and describes Leadiy’s observed sample, not the whole software market. It helps answer whether this record sits beside other visible signals, but it does not prove future demand, market share or buyer intent. The individual page and the aggregate Pulse use the same public-safe vacancy and project scope, while direct leads and personal data remain excluded from both.
Observation and publication timing
Timing here is explicit: observed by Leadiy on 3 Sept 2026, 15:30 UTC, 10 days old at the current request, then admitted to the public catalog after 31.08 hours. The system never recomputes a shorter delay because a page is requested frequently. This is an evidence timestamp, not a promise that the source remains open, and not a reconstruction of when the buyer first posted. Visitors who need the freshest matched records use the authenticated product; the public page is intentionally the later, indexable edition.
What looks similar
To build a useful neighbourhood around this record, Leadiy compares normalized technology IDs and favours the strongest overlap among pages that have already cleared the public delay. The current result is: "AI Automation & Agents Engineer", "RAG knowledge-base assistant with FastAPI", "AI full-stack and agentic developer" This method makes relationships inspectable and avoids copying descriptive text from the source. Similarity means shared technical vocabulary, nothing more. It does not assert shared ownership, equal scope, equivalent seniority or an identical application process, and it can evolve as later records become publicly eligible.
Where the response goes
This page’s action route is explicit: it opens Upwork on upwork.com. Leadiy provides context and provenance, not an application proxy. A click can therefore lead to a third-party login or proposal workflow governed by that service’s own privacy, eligibility and payment rules. The public catalog never replaces those instructions and never publishes a hidden email address as an alternate route. Review the destination hostname, confirm that the opportunity is still active, and respond only through a path you trust.
Public evidence versus earlier access
The product promise stays deliberately plain: the same opportunities, one day earlier. Public visitors can inspect this delayed record without an account, but the private product exists for earlier matching and action. Neither route changes the buyer’s requirements, the third-party application flow or the probability of winning work. The value difference is lead time and workflow. Keeping that claim next to a useful, self-contained public page avoids a teaser model in which essential provenance or the true destination is withheld.
The same opportunities, one day earlier.
See the $39 / 30-day plan →Your response leaves Leadiy.
The button opens upwork.com. That third-party page controls login, eligibility, proposal fields, privacy and the current status of the opportunity.